AI Tools for the Workers Algorithms Manage
An NSF-funded, three-year human-centered design project building AI-enhanced tools that help online workers manage profiles, workload, and performance inside algorithmically governed labor markets.
I study how AI and digital platforms are changing the nature of work — what happens to individuals, careers, and organizations when algorithms match people to jobs, set the terms of work, and mediate the relationship between worker and firm.
I am a management scholar with a sociologist's training and a product manager's past. My research sits at the intersection of technology, organizations, and work: a seven-year longitudinal study of careers built inside algorithmically managed labor markets, an NSF-funded project designing AI tools with and for the workers those markets tend to overlook, and new work on how algorithmic systems reshape the meaning of a job. Before academia I spent a decade in technology product management and workforce training, and the questions that drove that work still drive this one: who benefits when technology changes how work gets done, and who bears the cost?
An NSF-funded, three-year human-centered design project building AI-enhanced tools that help online workers manage profiles, workload, and performance inside algorithmically governed labor markets.
A longitudinal panel of 70 online workers followed since 2019 — more than 450 interviews — tracing how careers, identities, and organizations take shape when a platform's algorithms stand between worker and firm.
Interviews with founders who built agencies inside Upwork, examining how digital infrastructure shapes entrepreneurial orientation, founder skills, and organizational form.